Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Lisa J, Wilmes"'
Autor:
Wen Li, Nu N. Le, Rohan Nadkarni, Natsuko Onishi, Lisa J. Wilmes, Jessica E. Gibbs, Elissa R. Price, Bonnie N. Joe, Rita A. Mukhtar, Efstathios D. Gennatas, John Kornak, Mark Jesus M. Magbanua, Laura J. van’t Veer, Barbara LeStage, Laura J. Esserman, Nola M. Hylton
Publikováno v:
Tomography, Vol 10, Iss 11, Pp 1832-1845 (2024)
Background: This multicenter and retrospective study investigated the additive value of tumor morphologic features derived from the functional tumor volume (FTV) tumor mask at pre-treatment (T0) and the early treatment time point (T1) in the predicti
Externí odkaz:
https://doaj.org/article/239e5715cc2941a296c96473b259310b
Autor:
Nu N. Le, Wen Li, Natsuko Onishi, David C. Newitt, Jessica E. Gibbs, Lisa J. Wilmes, John Kornak, Savannah C. Partridge, Barbara LeStage, Elissa R. Price, Bonnie N. Joe, Laura J. Esserman, Nola M. Hylton
Publikováno v:
Tomography, Vol 8, Iss 3, Pp 1208-1220 (2022)
This study evaluated the inter-reader agreement of tumor apparent diffusion coefficient (ADC) measurements performed on breast diffusion-weighted imaging (DWI) for assessing treatment response in a multi-center clinical trial of neoadjuvant chemother
Externí odkaz:
https://doaj.org/article/4e753dc001e14a2996cd0448e63b5a67
Autor:
Yuxi Pang, Dariya I. Malyarenko, Lisa J. Wilmes, Ajit Devaraj, Ek T. Tan, Luca Marinelli, Axel vom Endt, Johannes Peeters, Michael A. Jacobs, David C. Newitt, Thomas L. Chenevert
Publikováno v:
Tomography, Vol 8, Iss 1, Pp 364-375 (2022)
The study aims to test the long-term stability of gradient characteristics for model-based correction of diffusion weighting (DW) bias in an apparent diffusion coefficient (ADC) for multisite imaging trials. Single spin echo (SSE) DWI of a long-tube
Externí odkaz:
https://doaj.org/article/d59e6a3e21644366952cf113fc3895e5
Autor:
Nita Amornsiripanitch, Debbie Anaby, Margarita Arango-Lievano, Pascal A.T. Baltzer, Tone Frost Bathen, Ethan Henry Bauer, Gabrielle C. Baxter, Ersin Bayram, Thomas Benkert, Petra Bildhauer, Almir Bitencourt, Timothé Boutelier, Lucile Brun, Brianna Bucciarelli, Sophie Campana, Thomas L. Chenevert, Bruce L. Daniel, Adam J. Davis, Sarah Eskreis-Winkler, Florence Feret, Edna Furman-Haran, Liesbeth Geerts, Peter Gibbs, Fiona J. Gilbert, Robert Grimm, Brian Hargreaves, Laura Heacock, Aurélia Hermoso, Maya Honda, Nola M. Hylton, Mami Iima, Neil Peter Jerome, Masako Kataoka, Toshiki Kazama, Miho Kita, Thomas Kwee, Denis Le Bihan, Wen Li, Wei Liu, Roberto Lo Gullo, Dariya Malyarenko, Ritse Mann, Jessica A. McKay, Anca Mitulescu, Woo Kyung Moon, Catherine J. Moran, Linda Moy, Jaladhar Neelavalli, Noam Nissan, Savannah C. Partridge, Andrew J. Patterson, Johannes M. Peeters, Katja Pinker, Beatriu Reig, Ilse Rubie, Ann Shimakawa, Hee Jung Shin, Eric E. Sigmund, Miri Sklair-Levy, Taro Takahara, Sunitha B. Thakur, Gregor Thoermer, Elisabeth Weiland, Lisa J. Wilmes, Ramona Woitek
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b65a83d041b464ac0767fc986680fe99
https://doi.org/10.1016/b978-0-323-79702-3.00024-1
https://doi.org/10.1016/b978-0-323-79702-3.00024-1
Autor:
Nu N. Le, Natsuko Onishi, David C. Newitt, Jessica E. Gibbs, Lisa J. Wilmes, Efstathios Gennatas, Barbara LeStage, Laura J. Esserman, Nola M. Hylton, Wen Li
Publikováno v:
Cancer Research. 83:PD16-07
Background Breast cancer is a heterogeneous disease and can be categorized into clinically or biologically meaningful subtypes. Predictive models built by MRI biomarkers performed better when they are optimized by breast cancer subtype than models op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4195696ad9379ee3206fac5bbdaac0
https://doi.org/10.1158/1538-7445.sabcs22-pd16-07
https://doi.org/10.1158/1538-7445.sabcs22-pd16-07
Autor:
Erin P. Crane, An L Church, Dae Hee Bang, Charlotte Dillis, Bethany L. Niell, Angela DeMichele, Marisa H. Borders, Basak E. Dogan, Jennifer S. Drukteinis, Deepa Sheth, Wei Tse Yang, Stefanie Woodard, Mark A. Rosen, Lisa J. Wilmes, Christina Yau, Natsuko Onishi, David C. Newitt, Theresa Kuritza, Jessica Gibbs, Despina Kontos, Marina E. Giurescu, Ella F. Jones, Thomas L. Chenevert, Mohammad Eghtedari, Roy Harnish, Constance D. Lehman, Fredrik Strand, Vignesh A. Arasu, Bruce Porter, Linda Hovanessian-Larsen, Alex Anh-Tu Nguyen, Elise Berman, Hiroyuki Abe, Mary S. Newell, Neda Jafarian, Laura J. Esserman, Savannah C. Partridge, John Kornak, Kelly Fountain, Luminita A. Tudorica, Donald A. Berry, Patrick J Bolan, Michael Nelson, Sally Goudreau, Kathleen M. Ward, Kimberly A. Fitzpatrick, Karen Y. Oh, Bonnie N. Joe, Lara Hardesty, Kevin Morley, Kathleen R. Brandt, Haydee Ojeda-Fournier, Dan Lopez Paniagua, Heidi Umphrey, Elissa R Price, Elizabeth S. McDonald, Wen Li, Pulin Sheth, Dulcy Wolverton, Nola M. Hylton, Kathryn W Zamora
Publikováno v:
Radiology, vol 301, iss 2
Background Suppression of background parenchymal enhancement (BPE) is commonly observed after neoadjuvant chemotherapy (NAC) at contrast-enhanced breast MRI. It was hypothesized that nonsuppressed BPE may be associated with inferior response to NAC.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9d4b2fa9b1d86431fe0443e020f3903
https://doi.org/10.1148/radiol.2021203645
https://doi.org/10.1148/radiol.2021203645
Autor:
Wen, Li, Nu N, Le, Natsuko, Onishi, David C, Newitt, Lisa J, Wilmes, Jessica E, Gibbs, Julia, Carmona-Bozo, Jiachao, Liang, Savannah C, Partridge, Elissa R, Price, Bonnie N, Joe, John, Kornak, Mark Jesus M, Magbanua, Rita, Nanda, Barbara, LeStage, Laura J, Esserman, I-Spy Imaging Working Group, I-Spy Investigator Network, Laura J, Van't Veer, Nola M, Hylton
Publikováno v:
Cancers; Volume 14; Issue 18; Pages: 4436
This study tested the hypothesis that a change in the apparent diffusion coefficient (ADC) measured in diffusion-weighted MRI (DWI) is an independent imaging marker, and ADC performs better than functional tumor volume (FTV) for assessing treatment r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e574cc7e78386f06eb46a5601600df9
https://pubmed.ncbi.nlm.nih.gov/36139594
https://pubmed.ncbi.nlm.nih.gov/36139594
Autor:
Judith Zimmermann, Julia Carmona-Bozo, Nu N. Le, Natsuko Onishi, Lisa J. Wilmes, Jessica E. Gibbs, Jiachao Liang, David C. Newitt, Savannah Partridge, Patrick Bolan, Bonnie N. Joe, Elissa R. Price, Barbara LeStage, Nola M. Hylton, Wen Li
Publikováno v:
Cancer Research. 83:P6-01
Background: The apparent diffusion coefficient (ADC) presents a biomarker that is sensitive to tumor cellularity. ADC maps can be calculated from non-contrast diffusion-weighted magnetic resonance imaging (DW-MRI) measurements. ACRIN 6698, a sub-stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::265ddae5e0fdc54094938efbbf76f789
https://doi.org/10.1158/1538-7445.sabcs22-p6-01-33
https://doi.org/10.1158/1538-7445.sabcs22-p6-01-33
Autor:
David C. Newitt, Teffany Joy Bareng, Lisa J. Wilmes, Clifton Li, Wen Li, Lisa Cimino, Barbara LeStage, Evelyn Proctor, Natsuko Onishi, Jessica Gibbs, Nola M. Hylton, Bev Parker, M. Watkins
Publikováno v:
Cancer Research. 81:PS11-08
Background: The I-SPY 2 TRIAL is a multi-site response adaptive clinical trial evaluating novel drug combinations for neoadjuvant treatment of breast cancer. Patients receive four or more MRI studies during treatment, and serial measurement of functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3e10f7ad36bf149e133026505914002
https://doi.org/10.1158/1538-7445.sabcs20-ps11-08
https://doi.org/10.1158/1538-7445.sabcs20-ps11-08
Autor:
Basak E. Dogan, Linda Moy, Thomas L. Chenevert, Bonnie N. Joe, Wei T. Yang, Habib Rahbar, Nola M. Hylton, Christopher Comstock, Karen Y. Oh, Jennifer G. Whisenant, Lilian C. Wang, Sara M. Harvey, Luminita A. Tudorica, Savannah C. Partridge, Elizabeth S. McDonald, Dariya I. Malyarenko, Justin Romanoff, Thomas E. Yankeelov, Wendy B. DeMartini, Lisa J. Wilmes, Colleen H. Neal, Averi E. Kitsch
Publikováno v:
J Breast Imaging
Journal of breast imaging, vol 3, iss 1
Journal of breast imaging, vol 3, iss 1
Objective The A6702 multisite trial confirmed that apparent diffusion coefficient (ADC) measures can improve breast MRI accuracy and reduce unnecessary biopsies, but also found that technical issues rendered many lesions non-evaluable on diffusion-we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2227bc5b5b3572f1e94a1b937e46df05
https://doi.org/10.1093/jbi/wbaa103
https://doi.org/10.1093/jbi/wbaa103